Crate ruvector_consciousness 

ruvector-consciousness — SOTA Consciousness Metrics

Ultra-optimized Rust implementation of consciousness computation:

Module	Algorithm	Complexity
phi	IIT Φ (exact)	O(2^n · n²)
phi	IIT Φ (spectral)	O(n² log n)
phi	IIT Φ (stochastic)	O(k · n²)
emergence	Causal emergence / EI	O(n³)
collapse	Quantum-inspired MIP search	O(√N · n²)

Features

• SIMD-accelerated KL-divergence, entropy, dense matvec (AVX2)
• Zero-alloc hot paths via bump arena
• Sublinear partition search via spectral and quantum-collapse methods
• Auto-selecting algorithm based on system size

Example

use ruvector_consciousness::types::{TransitionMatrix, ComputeBudget};
use ruvector_consciousness::phi::auto_compute_phi;

// 4-state system (2 binary elements)
let tpm = TransitionMatrix::new(4, vec![
    0.5, 0.25, 0.25, 0.0,
    0.5, 0.25, 0.25, 0.0,
    0.5, 0.25, 0.25, 0.0,
    0.0, 0.0,  0.0,  1.0,
]);

let result = auto_compute_phi(&tpm, Some(0), &ComputeBudget::exact()).unwrap();
println!("Φ = {:.6}, algorithm = {}", result.phi, result.algorithm);

Modules

arena

Bump allocator for per-computation scratch space.

bounds

PAC-style approximation guarantees for Φ estimation.

ces

Cause-Effect Structure (CES) computation — the “shape” of experience.

collapse

Quantum-inspired consciousness collapse.

emergence

Causal emergence and effective information computation.

error

Error types for consciousness computation.

geomip

GeoMIP: Geometric Minimum Information Partition search.

iit4

IIT 4.0 intrinsic information and cause-effect repertoires.

phi

Integrated Information Theory (IIT) Φ computation.

phi_id

Integrated Information Decomposition (ΦID).

pid

Partial Information Decomposition (PID).

rsvd_emergence

Randomized SVD-based causal emergence.

simd

SIMD-accelerated operations for consciousness computation.

streaming

Online/streaming Φ estimation for time-series data.

traits

Trait hierarchy for consciousness computation engines.

types

Core types for consciousness computation.